Lab Relations
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LabRelations for BioTech

Biotech programs evolve. A discovery team becomes a translational team becomes a clinical team, and the tools that worked at one stage need to grow with the program rather than be replaced at every transition. LabRelations is built for that journey: LIMS for samples, assays, and lab work; CTMS and EDC for clinical trials; QMS for documents, deviations, and training as programs mature toward IND.

Each system is designed for the team using it, and the validation envelope grows with the program. A discovery scientist works in tooling appropriate for discovery, and the same data carries forward when the program crosses into the clinic. The systems can share data when it helps a program, and stay independent when it doesn't.

What biotech teams use LabRelations for

LIMS for the lab, CTMS and EDC for clinical, QMS for quality. Used independently. Connected when a program needs it.

What does LabRelations do for the lab? +

LIMS handles samples, assays, instruments, results, and inventory. Scientists can write up an experiment and have the structured data land in a queryable database without copy-paste. Cell lines, freezers, reagents, and protocols all live in one place.

What does LabRelations do for clinical trials? +

CTMS for studies, sites, subjects, and milestones. EDC for clean data capture. eTMF that builds itself as the trial runs. Built so a small clinical team can stay in control of a program without drowning in spreadsheets.

What does LabRelations do for quality? +

QMS for documents, SOPs, deviations, change control, training, supplier qualification, and CAPA. Light enough to start before full GxP, deep enough to scale into manufacturing prep without re-platforming.

We don't need full GxP yet. Do we have to start there? +

No. Compliance controls turn on when you need them. Discovery can run without electronic signatures and lock-step approvals. When the program reaches a stage where they're needed, you turn them on and the existing data carries over.

Can the systems share data when programs need them to? +

Yes. They share a common data model and APIs underneath. A sample tracked in LIMS can flow into a clinical record. A deviation in QMS can pick up context from the lab. Wire them together when it helps a program, leave them apart when it doesn't.

How configurable is it? +

Configuration happens in the UI. Workflows, fields, approvals, and dashboards are changed without writing code or filing a vendor ticket. Configuration sits inside the validation envelope, so a change isn't a code release.

Can it integrate with our instruments and existing systems? +

Yes. Most likely. Results land against the right sample without manual entry.

What kind of support do we get? +

A mix of people who've actually worked in the industry supported by technical people for configuration needs inside the platform itself.

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  • Tools for the lab, the clinic, and quality
  • 175+ features and counting
  • Configurable without code
  • Built for how biotech teams work
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